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Post-Doctoral position in computational onco-immunologygy
Introduction
UNIL is a leading international teaching and research institution, with over 5,000 employees and 17,000 students split between its Dorigny campus, CHUV and Epalinges. As an employer, UNIL encourages excellence, individual recognition and responsibility.
Presentation
We are looking for highly motivated post-doc to join our group.
Job information
Expected start date in position : 01.11.2021, flexible.
Contract length : 1 year (renewable twice for two years).
Activity rate : 100%
Workplace : Agora (CHUV campus, Lausanne)
Your responsibilities
Single-cell genomics technologies are revolutionizing our understanding of the heterogeneity of biological samples such as tumors. This technology enables researchers to phenotypically characterize hundreds of thousands of cells in terms of gene expression, genetic alterations, chromatin accessibility or TCR/BCR rearrangements for T/B cells. However, the increasingly large number of cells that are being studied creates new challenges for data analysis, visualization and interpretation. The successful candidate will have the opportunity to develop new algorithms to improve analysis of single-cell genomics data from tumors. These include (but are not restricted to) new developments in the recently introduced ‘super-cell’ concept applied to cancer and immune cells (Bilous et al, BioRxiv 2021).
Together with several experimental collaborators, we are located in the new Agora building, which crystallizes efforts in translational cancer research at UNIL, EPFL and CHUV (https://www.chuv.ch/fr/oncologie/onc-home/le-departement/swiss-cancer-center-leman-sccl/agora). In addition, Lausanne offers one of the best translational research environments in the field of cancer immunotherapy with several world-renowned Institutes (Ludwig Institute for Cancer research, ISREC) and cutting-edge computational infrastructures (SIB).
Your qualifications
PhD in Computational Biology, Math, Physics or Computer science with demonstrated experience in Bioinformatics and at least one first-author research paper in a peer-reviewed journal. Experience with gene expression analysis and machine learning algorithms in computational immunology is a plus.
All candidates should have a strong interest in computational biology applied to cancer and immunology-related research and excellent collaborative skills with experimental biologists. Good knowledge in algorithmic developments and programming, as well as the ability to work in English (oral + written) are required.
What the position offers you
We offer a nice working place in a multicultural, diverse and dynamic academic environment. Opportunities for professional training, a lot of activities and other benefits to discover.
Contact for further information
Send your full application including motivation letter, CV, list of publications and the name of 2 or 3 references to: david.gfeller@unil.ch. Interviews are expected to take place in Fall 2021.
Web pages: http://unil.ch/dof/gfeller, https://gfellerlab.org/
Your application
Deadline : 25.08.2021
Please, send your full application in Word or PDF.
Only applications through this website will be taken into account.
We thank you for your understanding.
Additional information
UNIL is committed to equal opportunities and diversity.
www.unil.ch/egalite
UNIL supports early career researchers.
www.unil.ch/graduatecampus
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PhD Research Fellow(s) in Sociology | Deadline: 1 October
Job description
There are 1-2 vacant research fellowships (SKO 1017) at the Department of Sociology and Human Geography. The position(s) are for a period of three years without compulsory work or four years with 25% compulsory work (primarily teaching).
The department is ranked as the premier academic research institute in sociology in Norway, conducting top international research while offering high quality education for students. The department is renowned both for the breadth of topics and methodologies employed and for its highly qualified researchers.
They seek candidates with the potential to contribute to the development of sociology as a discipline. The fellows are expected to pursue independent research under supervision, as outlined in their submitted project proposals. They value the contribution of young scholars to the academic environment and study programmes in the department, and encourage candidates with a desire to participate actively in departmental life to apply.
Applicants should have research interests within one or more of the main areas of sociological research at the department: global challenges, migration and integration, cultural and political participation, the Nordic model, family and the life course, social inequality, working life, and marginalisation.
The position requires participation in the Faculty of Social Sciences' organised research education programme (PhD programme) and the completion of a doctorate in sociology. The candidates who are hired will automatically be admitted to the PhD programme. Residence in Norway is expected, but PhD fellows are also encouraged to spend time abroad during the fellowship period.
Qualification requirements and assessment criteria
Applicants will be assessed on the quality of the project proposal, their academic grades, the quality of the master’s thesis and the applicant’s personal prerequisites to carry out the project. The hiring process will include an interview.
Applicants must have a master's degree/second-level degree in sociology or equivalent. Applicants are expected to demonstrate through their application letter and project proposal how they will contribute to the development of sociology at the department. Applicants from other disciplinary backgrounds who wish to apply must demonstrate in their application letter that their educational background, master’s thesis and project proposal fall within the scope of sociology.
The master’s degree must include a thesis of at least 30 ECTS. Applicants must have a minimum grade B (ECTS grading scale) or equivalent. The master's thesis must have been submitted before the application deadline. A prerequisite for taking up the position is the successful completion of a master’s degree
The applicant must provide a tentative description (5-10 pages) of a PhD research project that she or he plans to carry out during the fellowship period. The project description should include an explicit account of how the project relates to the abovementioned research areas. Applicants are expected to be able to complete the project during the appointment period.
Applicants must have native or near-native competence in English or a Scandinavian language.
The final hiring decision is the responsibility of the department’s board and will be based on an evaluation of the overall qualifications of the shortlisted candidates as well as the department’s needs.
They offer
Salary at pay rate 54-59, NOK 491 200 – 534 400 per annum, depending on qualifications
An academically stimulating working environment
Attractive welfare benefits and a generous pension agreement, in addition to Oslo’s family-friendly environment with its rich opportunities for culture and outdoor activities
If you are interested in AI, join us on LinkedIn:
https://www.linkedin.com/groups/8861263/
#IraniansInAI
2-year Post Doctoral Researcher in Deep Learning for Capsule Endoscopy at NTNU, Norway
We have a vacancy for a post doctoral researcher position in deep learning in the project “Improved Pathology Detection in Wireless Capsule Endoscopy Images through Artificial Intelligence and 3D Reconstruction”. The project focuses on applying artificial intelligence and 3D reconstruction to facilitate better pathology detection through wireless capsule endoscopy video stream and thereby simplify the screening and planning task performed by gastroenterologists.
The position will focus on developing data-efficient learning method for automated pathology detection in the gastrointestinal tract and develop enhanced automatic pathology detection algorithms. The position will also support work on automatically constructing 3D models in areas of interest for assessment by gastroenterologists
Deadline 15th of September 2021.
More information on https://www.jobbnorge.no/en/available-jobs/job/210806/post-doctoral-researcher-in-deep-learning-for-capsule-endoscopy
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Postdoc position in ML/computational neuroscience/genomics at UCSF
The Abbasi Lab at the University of California, San Francisco (UCSF) in collaboration with Bin Yu at UC Berkeley and Hongkui Zeng and Bosiljka Tasic at the Allen Institute invites applications for a fully-funded postdoctoral position at the intersection of machine learning and gene expression analysis funded by the Weill Neurohub’s Next Great Idea Award. This is an opportunity to work on a high-impact interdisciplinary problem. The project aims to provide a computational framework to reveal building blocks of spatial gene expression profiles in the mouse brain. These building blocks or principal patterns will parcellate the brain into completely data-driven 3D brain areas and establish brain-area-specific local gene networks. Additionally, the project aims to leverage these analyses to better understand the patterns in the human gene expression datasets. The project involves designing and validating interpretable machine learning frameworks and statistical tools.
We are looking for highly-motivated individuals with a strong quantitative background (PhD in computer science, computational biology, engineering, computational neuroscience, or related fields) and experience in programming and data analysis. Previous background in computational biology and neuroscience could be highly beneficial.
UCSF is part of the 10-campus University of California, the world’s premier public research university system, and the only of its campuses dedicated to graduate and professional education. UCSF Neurology has been consistently ranked among the top departments of neurology at US medical schools. The successful candidate will benefit from various clinical and basic science resources at UCSF including extensive learning and research support. As a part of the Weill Institute for Neuroscience, our laboratory is located on the Mission Bay campus providing access to the UCSF Neuroscience and Bioengineering communities including the Neuroscape, Kavli Institute for Fundamental Neuroscience and Baker Computational Health Science Institute.
Additional information is available at: https://abbasilab.org
Candidates should send their CV, research statement, expected date of availability, and the contact information for three references to Reza.AbbasiAsl@ucsf.edu.
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Research position at the Vrije Universiteit Brussel (VUB)
One Scientific Research position in Affective Neuroscience (PhD: 4 years/Postdoc/Scientific researcher: 3 years) is available at the Vrije Universiteit Brussel (VUB), Department of Clinical studies and Neuroimaging, VUB, Brussels, Belgium in collaboration with the Psychophysiology Lab headed by Prof. James Gross of the University of Stanford, US. Content: The candidate works on the experimental investigation of bottom-up experiential emotion regulation as a central working mechanism within experiential psychotherapy, complementary to top-down cognitive reappraisal as a central working mechanism in cognitive-behavioral psychotherapy. The candidate will assess the respective behavioral and neurophysiological effects.
Profile: We are looking for a highly motivated applicant. The candidate has a master's degree in psychology, biomedical, medical sciences, or affective- and cognitive neuroscience, or related areas. He or she has affinity with experimental research. English communication and writing skills are required. Methodological interest and autonomy are vital skills for this position.
Interested? Interested candidates can apply by e-mail. Please provide a motivation letter and full Curriculum Vitae, including the names and contact information of at least two references. The deadline for application is the end of August 2021. For additional information, you can contact Marie Vandekerckhove: Marie.Vandekerckhove@vub.be.
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Post-doc in Conversational Recommendation at U. of Toronto
I have one opening for a post-doc in Conversational Recommendation at U. of Toronto.
The research will focus on machine learning methodologies leveraging recent advances in recommender systems and applied NLP.
Post-docs are expected to publish in top research venues, to produce high-quality deliverable code for use by research funding partners, and to help provide supervision for a team of graduate students working on the same project.
Deadline: the candidate should be able to start on or before Dec 1, 2021.
If you are interested, please email ssanner@cs.toronto.edu with the following:
(a) your CV (clearly listing all publications and date PhD granted / expected),
(b) your github public account link with projects that I can browse (if you don't have this, please do not apply),
(c) 1-2 sentences in your email stating your interests in conversational recommendation and why you think you would be appropriate for the position.
Dr. Scott P. Sanner
Associate Professor, Industrial Engineering
Cross-appointed, Computer Science
Faculty Affiliate, Vector Institute
University of Toronto, Toronto, ON, Canada
Email: ssanner@cs.toronto.edu
Website: http://d3m.mie.utoronto.ca/
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Research Assistant Position in Functional Neuroimaging
The Center for Functional and Molecular Imaging (CFMI) located at Georgetown University, is looking to hire two full-time research assistants with a strong interest in cognitive neuroscience and brain imaging.
CFMI is a fully equipped research imaging center with a 3T Siemens MRI system, a near-infrared spectroscopy optical imaging systems, a high-density EEG (256 channels), fMRI-compatible EEG, and a transcranial magnetic stimulator. Our investigators are conducting a number of studies examining the neural mechanisms of language, perception, developmental disorders, decision making and reward processing, substance abuse, and brain plasticity.
This position will involve being trained to run our MRI scanner, working on data analyses, and interacting with a wide variety of participant populations including children with autism and other neuropsychiatric disorders as well as individuals with strokes and mild cognitive impairment. Some specific requirements include:
Bachelor's degree required upon start date
Requires some experience collecting data with human subjects/working in a research environment
Experience with MRI/fMRI preferred but not necessary - Programming and/or scripting experience preferred
Working in a team environment
Major research projects that will be undertaken in the lab include working on cloud computing solutions for neuroimaging data analyses collected as part of a longitudinal substance use initiation study in adolescents as well as piloting new fMRI tasks.
This is a great position for those wanting research experience before applying for graduate school. If interested please send resume to: John VanMeter; jwv5@georgetown.edu
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PhD position at the university of Neuchatel
We are looking for a PhD student to join our group on reinforcement learning and decision making at the University of Neuchatel, Switzerland ( https://www.unine.ch/ ). We are particularly interested in candidates with a strong mathematical background. Prior research experience as documented by your Masters thesis will be an additional bonus. Although any area in the intersection of machine learning, statistics and artificial intelligence may be considered, we are primarily looking for a student with a sincere interest in one or more of the following areas:
1. Reinforcement learning
2. Privacy (e.g. differential privacy)
3. Fairness in machine learning.
Examples of our group's past and current research can be found on arxiv: https://arxiv.org/search/?searchtype=author&query=Dimitrakakis%2C+C. The student will have the opportunity to visit and work with other group members at the University of Oslo, Norway ( https://www.mn.uio.no/ifi/english/people/aca/chridim/index.html ) and Chalmers University of Technology, Sweden ( http://www.cse.chalmers.se/~chrdimi/ ). The position is available from 1 Februrary 2022.
For further information, please contact me directly at christos.dimitrakakis@gmail.com with the subject 'PhD Neuchatel'.
🔭 @DeepGravity
A funded PhD position is still available in our group to work in an exciting area of ‘Perovskite Nanocrystals for Solar-Driven Electricity and Hydrogen Generation’.
Come and wor #cleanenergy k with us at UNSW Engineering.
Suitable for applicants currently in Australia/New Zealand with a background in #nanotechnology #chemistry #materialsscience
and #devicephysics.
Deadline: 27th August 2021.
More info here: https://research.unsw.edu.au/people/dr-mahesh-suryawanshi
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How to apply
A letter of application
A project proposal (5-10 pages). The proposal must include the topic, relevant theory and methods and time-line. If the project requires field work/data collection, costs must be calculated and presented in a tentative budget
CV with full summary of education, practice and academic work (including possible publications). The period of enrolment (admission-completion) in the master's study programme must be specified
Academic transcripts (university degrees only)
Copy of master's degree diploma
Master's thesis. Please note that your thesis must be uploaded and registered as an "Attachment" in the electronic application
Foreign applicants are advised to attach an explanation of their University's grading system. This may be uploaded as an “Attachment”
Documents should be uploaded in the order presented above. Please submit documents individually and name them accordingly, e.g. Letter of application, Project proposal, CV, etc. Please do NOT submit them as a single, combined file.
More information here.
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Application for Postdoctoral Research Associate
The Form Finding Lab in the Department of Civil and Environmental Engineering (CEE) at Princeton University invites applications for a post-doctoral or more senior research position to support research on the robotic construction of discrete element systems. The research will be conducted under the direction of Professor Sigrid Adriaenssens.
Responsibilities will include:
- Developing a computational framework that generates element geometries loaded under internal membrane or axial action, and tessellation of efficient element layouts; and that integrates robotic construction approaches;
- Overseeing day-to-day graduate and possibly undergraduate and high school student's research as it relates to project goals and meeting project milestones and go/no-go points;
- Giving and contributing to research seminars within the Department of Civil and Environmental Engineering;
- Presenting at conferences and leading journal publication efforts;
- Leading outreach effort of designing and constructing demonstrators, and developing and writing research proposals.
Minimum qualifications:
- Doctoral degree in mechanical or civil engineering, architectural engineering, physics or applied mathematics field;
- Appropriate experience in form finding and optimization methods, discrete element modeling and prototyping;
- Strong project management skills and a very good publication record.
This is a 1-year position and preferred start will be in January 2022 or earlier. Interested candidates should submit an application online at https://www.princeton.edu/acad-positions/position/21961. Applications should include a CV, a brief statement of research experience and interests, and the contact information for three references. The application deadline is November 1, 2021. Please send inquiries to sadriaen@princeton.edu. This position is subject to the University's background check policy.
Requisition No: D-22-CEE-00001
*Required information is denoted with an asterisk.
How to Apply
The form below must be completed to submit your application for this position.
It is recommended that you read through the entire application and gather the required application materials before beginning your application. You will not be able to save or return to edit a partial application. Only complete applications will be accepted for consideration and the application form must be completed in its entirety before it can be submitted.
Upon submitting your application, you will receive a confirmation email at the email address that you provide in your application. In some cases, your references may be contacted using the email address that you provide for them and may be asked to provide their recommendation via a web-based form similar to the application form.
Be sure to provide the correct email addresses for you and all of your references to ensure that communications from Princeton University are properly delivered.
For more information send an email to zfjiang@princeton.edu.
https://puwebp.princeton.edu/AcadHire/apply/application.xhtml?listingId=21961
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Open PhD and visiting researcher positions at University of Victoria, Canada
Hi all,
The Deep Learning research group at the University of Victoria, CA is hiring PhD students and visiting researchers. Candidates will conduct research on topics of deep learning.
Future PhD candidates should:
Have a solid background in machine learning, ideally with published papers in top-tier conferences such as ICLR, ICML, NeurIPS, CVPR, ICCV.
Be proficient at coding, with familiarity in PyTorch, Tensorflow, or JAX.
Have strong self-motivation for research.
Visiting researcher positions are also available starting now.
For more information about the position or fund please email Cecilia Summers at ceciliasummers07@gmail.com. Please provide a CV with your application.
Best,
Cecilia
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Multiple RF Positions at National University of Singapore for Cisco-NUS Accelerated Digital Economy Corporate Laboratory
https://ids.nus.edu.sg/ciscojobs.html
Overview
We are looking for multiple Research Fellows to participate in a new project entitled “AI for Customer Service Automation” at the Institute of Data Science, National University of Singapore. The project is part of the “Cisco-NUS Accelerated Digital Economy Corporate Laboratory”. The project will focus on developing Artificial Intelligence and Machine Learning algorithms to harvest real-world end-to-end customer service operational data for enhancing customer experience and technical support.
Interested individual please send your cover letter and resume to email ids@nus.edu.sg. Please note that only shortlisted candidates will be notified.
Research Fellow:
Job Summary: The Research Fellow will be responsible for undertaking in-depth research and innovation in machine learning, data science, and artificial intelligence on natural language processing for information extraction and knowledge discovery that lead to publications in top-tier international conferences and journals, as well as real-world implementations.
Responsibilities:
Develop new concepts and algorithms in data science, machine learning, and artificial intelligence for natural language processing with a focus on information extraction and knowledge discovery from conversational data;
Be up-to-date on state-of-the-art methodologies in related technical fields and application domains;
Develop ideas for application of research outcomes;
Contribute to knowledge exchange activities with external partners and collaborators;
Requirements:
A PhD in Computer Science, with specialization related to machine learning, data mining, artificial intelligence or databases;
Proven ability to conduct independent research with a strong and relevant publication record;
Prior experience in knowledge graphs, information extraction, and knowledge discovery using state-of-the-art NLP approaches. Experience with deep learning-based information retrieval, and/or deep generative natural language approaches for conversation AI would be a plus;
Excellent interpersonal communication and oral presentation skills in English.
For any enquiries, please contact Mr Paul Lim at ids@nus.edu.sg.
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Job Announcement
Assistant Professor
Department of Psychological Sciences
University of Connecticut
The Department of Psychological Sciences at the University of Connecticut invites applications for an Assistant Professor, tenure track, in Developmental Psychology, with an anticipated start date of August 23, 2022. We seek a candidate with specialization in social developmental neuroscience using MRI methods. The successful candidate will utilize and be affiliated with the UCONN Brain Imaging Research Center (https://birc.uconn.edu). Targeted research areas are diversity (e.g., intergroup relations, social justice, disparity/inequity, racial/ethnic identity development) and/or social relationships with parents or peers in childhood or adolescence. Salary will be commensurate with qualifications and experience. The department is committed to diversity, equity, and inclusion, and especially invites applications from members of minoritized, marginalized, and underrepresented groups.
For more details about the position and to apply, please see the complete ad at https://academicjobsonline.org/ajo/jobs/19114 or visit https://hr.uconn.edu/jobs/
UConn is an AA/EEO employer.
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Deadline August 31: 5 PhD scholarships at the Center for Basic Machine Learning Research in Life Science (MLLS), University of Copenhagen and the Technical University of Denmark
Are you our new colleague?
The Center for Basic Machine Learning Research in Life Science (MLLS) gathers machine learning researchers from the Departments of Biology and Computer Science, University of Copenhagen (UCPH) and DTU Compute, the Technical University of Denmark (DTU).
We offer a workplace that aims to conduct world class research in machine learning methodology that simultaneously addresses important problems for applications in life science and has a wider relevance for machine learning.
5 PhD scholarships are open with starting date November 1st 2021 or as soon as possible thereafter. For information on how to apply, as well as on the individual projects, please see:
https://candidate.hr-manager.net/ApplicationInit.aspx/?cid=1307&departmentId=18965&ProjectId=154385&MediaId=5&SkipAdvertisement=false
Copenhagen is a great place to live and work, combining the fun of an international city with a life- and family-friendly work culture.
We look forward to hearing from you!
Aasa Feragen
Wouter Boomsma
Søren Hauberg
Jes Frellsen
Anders Krogh
Ole Winther
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Two postdoctoral fellowships in Statistics (FGV EMAp) Rio de Janeiro, Brazil
Postdoctoral fellowship in Statistics
The School of Applied Mathematics at Fundação Getulio Vargas (FGV EMAp) in Rio de Janeiro, Brazil, invites applications for two postdoctoral fellowships in Statistics beginning no later than December 31st, 2021.
We are looking for early-career researchers to develop innovative research in Statistics and Data Science. Individuals with applied and methodological interests in statistics for large complex data or financial/actuarial statistics. Candidates whose research interests intersect with the research agenda of other members of the department will be given priority.
The successful candidate is expected to develop collaborative research within the department, supporting our ongoing expansion in the area. It is also expected the post holder will collaborate with the members of the group on the application process for external funding. Light teaching duty may be required. Remote applicants will be considered.
Qualifications
The successful candidate is expected to hold a Ph.D. in statistics, or related discipline, by the time of the appointment. We expect the applicant to have an expanding track of publications and a strong potential of publishing in top ranked Statistics journals. The successful candidate will also possess excellent communication and presentation skills.
About us
Getulio Vargas Foundation (FGV) is a distinguished and internationally renowned Brazilian higher-learning institution dedicated to the intellectual development of the nation. The School of Applied Mathematics (EMAp) located in Rio de Janeiro, has as its main goals to contribute with the effort of FGV towards innovation through the use of Mathematics in its numerous areas of application, especially the Applied Social Sciences.
We are a growing department that aspires to be top ranked in Latin America and world-wide. The School of Applied Mathematics currently offers Ph.D., M.Sc., and undergraduate degrees in applied mathematics and Data Science. We also have an ongoing Postdoctoral Fellowship program. In 2020 a research center for Data Sciences was created, boosting investigation in the area.
Application
Academics with appropriate qualifications are kindly invited to send their applications electronically to postdoc.emap@fgv.br, including:
Cover letter which describes your experience, interests and suitability for the position;
Curriculum vitae; and
A list of academic articles showcasing the applicant’s research.
The applicant should also provide at least two reference letters, addressing your research qualifications and accomplishments, to be sent directly to the hiring committee.
Applications (including reference letters) received by August 29, 2021 (extended to September 30, 2021) will receive full consideration.
Informal inquiries can be addressed to Profs. Eduardo Mendes (eduardo.mendes@fgv.br), Rodrigo Targino (rodrigo.targino@fgv.br) and Luiz Max Carvalho (luiz.fagundes@fgv.br).
Salary and Benefits
This position is a 24 months fixed term contract with possibility of extending it for another 12 months. We offer an internationally competitive salary compatible with previous experience and accomplishments.
Further considerations
FGV is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, ethnicity, sex (including gender identity), national origin, disability status, age, sexual orientation, or any other characteristic protected by law. We always welcome nominations and applications from women, members of any minority group, and others who share our passion for building a diverse community that reflects the diversity in our student population.
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Postdoc at the University of Nebraska-Lincoln
The Cognitive and Affective Neuroscience Lab at the University of Nebraska-Lincoln (PI: Maital Neta) invites applications for a full-time Postdoctoral Researcher (start date negotiable). The postdoc will contribute to NIMH- and NSF-funded research examining individual differences in emotion processing and emotion regulation across the lifespan.
The successful candidate will have completed a PhD in psychology, neuroscience, or a related field and have a strong publication record that includes neuroimaging studies, preferably with a focus on using fMRI to examine theoretically relevant questions in cognitive psychology and emotion in particular. Candidates with substantial prior experience using advanced MRI methods (e.g., resting state MRI, MVPA, network analyses), psychophysiology and/or with eye tracking are uniquely attractive. Strong technical skills are preferred, including competence in several programming environments, and familiarity with programs such as E-prime, R, Matlab, Python, AFNI, SPM, FSL, and Unix is especially valued but not required and otherwise would be learned on the job.
The lab is housed in the Center for Brain, Biology, & Behavior at UNL (http://cb3.unl.edu/), which has a state-of-the-art Brain Imaging Center and a 3T MRI scanner dedicated for research. Beyond having access to the scanner, the postdoctoral fellow will also have access to with EEG/ERP, fNIRS, tDCS, virtual reality, mobile psychophysiology, eye-tracking (many of which can be measured both in and out of the MRI scanner), as well as several other cutting-edge techniques.
The position is available immediately, but the start date can be flexible. We will begin reviewing applications immediately, and continue reviewing them on a rolling basis until the position is filled. Salary is commensurate with experience, and includes health benefits.
To apply, please fill out the application form at https://tinyurl.com/slqmovm. You will need your CV and the contact information for three references. Please also feel free to contact Maital Neta (mneta2@unl.edu) for more information.
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